Publications by authors named "N Ohtake"
Strawberries are valued globally for their nutritional, aesthetic, and economic benefits. Optimizing blue-to-red LED ratios and nitrogen levels is essential for sustainable indoor strawberry cultivation. This factorial study investigated the effects of blue and red LED combination ratios (L1; 1:3, L2; 1:4, and L3; 1:6) and nitrogen levels (N1; 100 and N2; 200 mg/L) on the physiology and performance of strawberries in a plant factory.
View Article and Find Full Text PDFTissue factor pathway inhibitor-2 (TFPI2) is a Kunitz-type serine protease inhibitor and an ovarian clear cell carcinoma (CCC) biomarker. TFPI2 is expressed in several cancers and exerts tumor-suppressive effects; however, the role of TFPI2 in the CCC cell phenotype remains unclear. Therefore, in this study, we investigated the function of TFPI2 by establishing a gene knockout (KO) in ES-2 CCC cells and observed the change in phenotypes in vitro and in vivo.
View Article and Find Full Text PDFBackground: Endometrial cancer is the most common gynecological malignancy; however, there is no useful blood diagnostic biomarker. This study aimed to determine the utility of tissue factor pathway inhibitor 2 (TFPI2), a biomarker of ovarian cancer, as a diagnostic marker for endometrial cancer.
Methods: We examined serum TFPI2 levels in patients with endometrial cancer (n = 328) compared to those in healthy controls (n = 65) and evaluated the performance of serum TFPI2 levels as a diagnostic marker.
Classification of soybean chemical characteristics by excitation emission matrix coupled with t-SNE dimensionality reduction.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
Article Synopsis
- Measuring chemical composition in soybeans is typically tedious and requires calibration curves, but this study explores a new method using excitation emission matrix (EEM) combined with dimensionality reduction.
- The researchers analyzed EEMs from 34 soybean samples and applied two methods—principal component analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE)—to visualize chemical content.
- The results showed that t-SNE provided over 90% classification accuracy for key chemical components, suggesting it could simplify and enhance the screening process for soybeans, especially regarding isoflavone content.
Objective: Despite extensive vaccination campaigns to combat the coronavirus disease (COVID-19) pandemic, variants of concern, particularly the Omicron variant (B.1.1.
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